Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Universitat de València | 63 | — | 0 | 193 | 191 99% |
| 55 | — | 0 | 1793 | 1788 99.7% | |
| Universidad de Valencia | 48 | — | 0 | 235 | 220 93.6% |
| University of Valencia | 14 | — | 0 | 17 | 17 100% |
| www.uv.es | 13 | — | 0 | 35 | 35 100% |
| UV | 12 | — | 0 | 16 | 15 93.8% |
| Universitat de Valencia | 8 | — | 0 | 9 | 9 100% |
| aquí | 7 | — | 0 | 9 | 7 77.8% |
| La Nau | 6 | — | 0 | 13 | 11 84.6% |
| Universitat de València | 6 | — | 0 | 256 | 255 99.6% |
| Más información | 5 | — | 0 | 5 | 5 100% |
| Universitat de València (UV) | 5 | — | 0 | 11 | 10 90.9% |
| Website | 5 | — | 0 | 9 | 8 88.9% |
| Universidad de València | 5 | — | 0 | 7 | 7 100% |
| Valencia | 4 | — | 0 | 4 | 4 100% |
| IUDESCOOP | 4 | — | 0 | 18 | 18 100% |
| http://www.uv.es/ | 4 | — | 0 | 4 | 4 100% |
| https://www.uv.es/friasnav/AlfaCronbach.pdf | 4 | — | 0 | 4 | 4 100% |
| http://www.uv.es | 3 | — | 0 | 3 | 1 33.3% |
| http://www.uv.es/~aliaga/spain.html | 3 | — | 0 | 3 | 3 100% |
| enlace | 3 | — | 0 | 3 | 3 100% |
| Cookies | 3 | — | 0 | 480 | 480 100% |
| Col·legi Major Rector Peset | 3 | — | 0 | 3 | 2 66.7% |
| Gonzalo J. Olmo | 2 | — | 0 | 2 | 1 50% |
| Los Traveseños | 2 | — | 0 | 284 | 284 100% |
| Aviso legal | 2 | — | 0 | 247 | 247 100% |
| Avís legal | 2 | — | 0 | 6 | 6 100% |
| https://www.uv.es/ontinyent | 2 | — | 0 | 5 | 5 100% |
| https://www.uv.es/splweb/Documentos/manual_documents_administratius.pdf | 2 | — | 0 | 2 | 1 50% |
| http://www.uv.es/fisioterapia | 2 | — | 0 | 4 | 4 100% |
| Logo UV | 2 | — | 0 | 178 | 178 100% |
| Instituto Confucio | 2 | — | 0 | 4 | 1 25% |
| http://www.uv.es/RELIEVE/v9n1/RELIEVEv9n1_1.htm | 2 | — | 0 | 3 | 3 100% |
| https://www.uv.es/ | 2 | — | 0 | 2 | 2 100% |
| Servei d'Informàtica | 2 | — | 0 | 6 | 6 100% |
| uv.es | 2 | — | 0 | 2 | 1 50% |
| http://www.uv.es/economia | 2 | — | 0 | 8 | 8 100% |
| José Antonio Font | 2 | — | 0 | 2 | 1 50% |
| RELIEVE | 2 | — | 0 | 2 | 2 100% |
| Universidad de Valencia (UV) | 2 | — | 0 | 3 | 3 100% |
| Transparency | 2 | — | 0 | 225 | 225 100% |
| Revista Electrónica de Investigación y Evaluación Educativa | 2 | — | 0 | 17 | 17 100% |
| Privacy Policy | 2 | — | 0 | 225 | 225 100% |
| Universitat de Valéncia | 2 | — | 0 | 2 | 1 50% |
| https://www.uv.es | 2 | — | 0 | 2 | 2 100% |
| here | 2 | — | 0 | 3 | 3 100% |
| Accesibilidad | 2 | — | 0 | 247 | 247 100% |
| Martin Buber | 2 | — | 0 | 2 | 2 100% |
| http://www.uv.es/geohist | 2 | — | 0 | 4 | 4 100% |
| 2 | — | 0 | 2 | 2 100% |
Frequently Asked Questions
What anchor texts are used to link to uv.es?
This page shows all anchor texts found in backlinks pointing to uv.es, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe uv.es.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does uv.es have?
The anchor text report for uv.es displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.